Search "+Food -Beer -Cinder toffee +Residual Learning +Dropout +TensorFlow -Convolutional neural network -Reinforcement learning -Paper/Gatys2015"

Positive matches

• 0.056 + - Paper/Srivastava2014
• 0.051 + - Deep learning
• 0.037 + - Social media
• 0.031 + - Keras
• 0.028 + - Long short-term memory
• 0.024 + - word2vec
• 0.016 + - Odor
• 0.014 + - LSTM
• 0.012 + - Word embedding
• 0.011 + - Artificial neural network
• 0.010 + - Wine pairing
• 0.009 + - Music
• 0.009 + - Stretching
• 0.008 + - Skip-gram
• 0.007 + - Sentence embedding
• 0.007 + - sense2vec
• 0.005 + - Machine learning
• 0.005 + - Amazon Elastic Compute Cloud
• 0.005 + - Recurrent neural network
• 0.004 + - Paper/Hochreiter1997

Negative matches

• 0.082 + - Andy Connelly
• 0.064 + - Neural doodle
• 0.040 + - Cheese
• 0.028 + - Trappist beer
• 0.026 + - Bread
• 0.022 + - Q-learning
• 0.022 + - David Silver
• 0.022 + - CNN
• 0.022 + - Modeling animal behaviors with reinforcement learning
• 0.022 + - Evolution strategy
• 0.018 + - Meta learning
• 0.016 + - Alexander S. Ecker
• 0.016 + - Matthias Bethge
• 0.016 + - Leon A. Gatys
• 0.016 + - Natural language processing
• 0.013 + - Restaurants
• 0.013 + - Paper
• 0.012 + - Deep generative models
• 0.011 + - Calorie
• 0.009 + - Catching Fire: How Cooking Made Us Human